Azure SQL Data Warehouse Performance Tuning and Optimization

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Course Overview

The Azure SQL Data Warehouse Performance Tuning and Optimization course is designed to equip learners with the knowledge and skills required to optimize and manage the performance of a data warehouse on Azure’s massively parallel processing (MPP) architecture. This course is beneficial for database professionals and architects who aim to improve their Azure SQL Data Warehouse’s efficiency and speed.

Course Prerequisites

To ensure that participants are adequately prepared to benefit from the Azure SQL Data Warehouse Performance Tuning and Optimization course, the following prerequisites are recommended:

  • Basic understanding of database concepts and relational database management systems (RDBMS).
  • Familiarity with the SQL language, particularly with writing and executing SQL queries.
  • Experience with Microsoft Azure, especially Azure SQL Database or Azure Synapse Analytics (formerly SQL Data Warehouse).
  • Knowledge of data warehouse design principles and architectures, including star and snowflake schemas.
  • An introductory level of knowledge about Microsoft Parallel Data Warehouse (PDW) or Massively Parallel Processing (MPP) architectures.

These prerequisites are intended to provide a foundation that will help learners grasp the advanced concepts discussed in the course. Prior experience in these areas will help ensure a successful learning experience without causing undue frustration or the need for additional basic training during the course.

Learning Objectives – What you will Learn in this Azure SQL Data Warehouse Performance Tuning and Optimization?

Introduction to Learning Outcomes:

This course aims to equip students with the skills to optimize and tune the performance of Azure SQL Data Warehouse. Participants will delve into data gathering, MPP architecture, table design, and troubleshooting techniques.

Learning Objectives and Outcomes:

  • Understand the fundamentals of data gathering and review processes for performance tuning.
  • Grasp the essential concepts of Massively Parallel Processing (MPP) and its impact on data warehousing.
  • Learn to create and connect to an Azure SQL Data Warehouse effectively.
  • Comprehend the principles of database scaling and how to apply them to manage resources and performance.
  • Gain knowledge on the optimal design of tables, including the use of rowstore vs columnstore and the selection of distribution columns.
  • Master the creation and management of statistics objects to improve query performance.
  • Understand the intricacies of data movement within the MPP architecture, including tuning Data Movement Services (DMS).
  • Learn the best practices for partitioning in an MPP system and managing partition sizes and data loading.
  • Acquire skills to fine-tune performance using a variety of techniques such as statistics, indexes, and table design.
  • Engage in hands-on troubleshooting to address common performance issues and learn strategies to resolve them.

Target Audiance

  • Data Engineers
  • Database Administrators (DBAs)
  • Data Architects
  • Business Intelligence Professionals
  • SQL Server Professionals
  • Data Analysts involved in data warehousing projects
  • IT Professionals with a focus on Microsoft Azure data services
  • Cloud Solution Architects
  • Technical Team Leaders overseeing database or data warehouse teams
  • Performance Tuning Specialists
  • System Administrators with responsibilities over Azure-based resources

Schedule Dates

Azure SQL Data Warehouse Performance Tuning and Optimization
29 April 2024 - 30 April 2024
Azure SQL Data Warehouse Performance Tuning and Optimization
29 July 2024 - 30 July 2024
Azure SQL Data Warehouse Performance Tuning and Optimization
29 October 2024 - 30 October 2024
Azure SQL Data Warehouse Performance Tuning and Optimization
29 January 2025 - 30 January 2025

Course Content

  • Data Gathering sets the foundation by teaching techniques for data collection and analysis, which is critical in understanding current performance and identifying areas for improvement.

  • Knowledge Transfer delves deeper into key concepts such as MPP essentials, database scaling, and table design, providing learners with a comprehensive understanding of the underlying mechanisms that affect performance. It also covers the significance of statistics in query optimization, the intricacies of data movement, and strategies for effective partitioning to enhance data management and access.

  • Hands-On Troubleshooting, participants engage in practical exercises, applying the theories and techniques learned to real-world scenarios. This hands-on approach ensures that learners can confidently apply optimization strategies to their Azure SQL Data Warehouse environments.

FAQs

Yes, course requiring practical include hands-on labs.

We use the best standards in Internet security. Any data retained is not shared with third parties.

Yes

We use the best standards in Internet security. Any data retained is not shared with third parties.

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